MétaCan
Menu
Back to cohort

INTEGRITY ANALYSIS OF MAIN PUMP SHAFT SEAL UNDER ACCIDENTS INDUCED BY SBO FOR CANDU

2019· article· en· W2998035065 on OpenAlexaboutno aff
Ximing You, Qianglong Wang, Jinrong Qiu, Lili Tong

Bibliographic record

VenueThe Proceedings of the International Conference on Nuclear Engineering (ICONE) · 2019
Typearticle
Languageen
FieldDecision Sciences
TopicRisk and Safety Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNuclear engineeringNuclear power plantCoolantEnvironmental scienceBlackoutLoss-of-coolant accidentEngineeringMechanical engineeringPower (physics)Nuclear physicsElectric power systemPhysics

Abstract

fetched live from OpenAlex

The main pump shaft seal of Primary Heat Transport System (PHTS) is of great significance for the integrity of reactor coolant pressure boundary in CANada Deuterium Uranium (CANDU) nuclear power plant. The analysis model of CANDU nuclear power plant in China is built by RELAP5 code, including primary heat transport system, secondary system and moderator system. The applicability of the CANDU nuclear power plant analysis model is verified based on steady-state debugging and Design Basis Accident (DBA) analysis. The different accident scenarios induced by Station BlackOut (SBO) accident are analysis. The temperature and pressure change of main pump are studied based on the analysis model. Combined with relevant evaluation criteria, the integrity of main pump shaft seal is assessed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.083
GPT teacher head0.331
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueThe Proceedings of the International Conference on Nuclear Engineering (ICONE)Same topicRisk and Safety AnalysisFrench-language works237,207